Recognition of Isolated Complex Mono- and Bi-Manual 3D Hand Gestures

In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs. Blobs are obtained by tracking colored body parts in real-time using the EM algorithm. In most of the studies on hand gestures, only small vocabularies have been used. In this paper, we study the results obtained on a more complex database of mono- and bi-manual gestures. These results are obtained by using a state-of-the-art sequence processing algorithm, namely Hidden Markov Models (HMMs), implemented within the framework of an open source machine learning library.


Year:
2003
Publisher:
IDIAP
Keywords:
Note:
Published in "Proceedings of the sixth International Conference on Automatic Face and Gesture Recognition", 2004
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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